fafa. 

@DD_FaFa_

Customer Insights Director I tweet mostly about with

Melbourne Australia
Vrijeme pridruživanja: kolovoz 2014.

Tweetovi

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  1. Prikvačeni tweet
    14. sij 2019.

    Upgradable computer for machine learning and deep learning 🤖🤖 See parts list below.

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    Poništi
  2. proslijedio/la je Tweet
    prije 10 minuta
    Poništi
  3. Building Data Engineering Pipelines in Python: Learn how to build data engineering pipelines in Python.

    Poništi
  4. Working with Dates and Times in Python: Learn how to work with dates and times in Python.

    Poništi
  5. Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)

    Poništi
  6. Interactive Maps with leaflet in R: Learn how to produce interactive web maps with ease using leaflet.

    Poništi
  7. Metadata (The MIT Press Essential Knowledge series)

    Poništi
  8. Computational Thinking (The MIT Press Essential Knowledge series)

    Poništi
  9. prije 1 sat

    Start your 30 day trial. Try Amazon Prime.

    Poništi
  10. prije 1 sat

    Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

    Poništi
  11. prije 1 sat

    Python for Spreadsheet Users: Use your knowledge of common spreadsheet functions and techniques to explore Python!

    Poništi
  12. Applied Artificial Intelligence: A Handbook For Business Leaders

    Poništi
  13. Unit Testing for Data Science in Python: Learn how to write unit tests for your Data Science projects in Python using pytest.

    Poništi
  14. Elements of Programming Interviews in Python: The Insiders' Guide

    Poništi
  15. RNA-Seq Differential Expression Analysis: Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

    Poništi
  16. Poništi
  17. Data Science for Business Leaders: Learn about data science and how can you use it to strengthen your organization.

    Poništi
  18. Analyzing Survey Data in R: Learn survey design using common design structures followed by visualizing and analyzing survey results.

    Poništi
  19. Conditional Formatting in Spreadsheets: Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

    Poništi
  20. Categorical Data in the Tidyverse: Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

    Poništi
  21. Forecasting Using R: Learn how to make predictions about the future using time series forecasting in R.

    Poništi

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